Evidence map›Paper›PMID 31363753›Full record

ReviewGigaScience2019

Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance.

Alexander M Piper, Jana Batovska, Noel O I Cogan, John Weiss, John Paul Cunningham, Brendan C Rodoni, Mark J Blacket

Abstract readReview
In one paragraph

Review in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed.

  1. Article
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  12. Effects of land cover and protected areas on flying insect diversity.Conservation biology : the journal of the Society for Conservation Biology · 2025
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  15. Review
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alexander M PiperAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
Jana BatovskaAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
Noel O I CoganAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
John WeissAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
John Paul CunninghamAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
Brendan C RodoniAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.
Mark J BlacketAgriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trap-based surveillance strategies are widely used for monitoring of invasive insect species, aiming to detect newly arrived exotic taxa as well as track the population levels of established or endemic pests. Where these surveillance traps have low specificity and capture non-target endemic species in excess of the target pests, the need for extensive specimen sorting and identification creates a major diagnostic bottleneck. While the recent development of standardized molecular diagnostics has partly alleviated this requirement, the single specimen per reaction nature of these methods does not readily scale to the sheer number of insects trapped in surveillance programmes. Consequently, target lists are often restricted to a few high-priority pests, allowing unanticipated species to avoid detection and potentially establish populations. DNA metabarcoding has recently emerged as a method for conducting simultaneous, multi-species identification of complex mixed communities and may lend itself ideally to rapid diagnostics of bulk insect trap samples. Moreover, the high-throughput nature of recent sequencing platforms could enable the multiplexing of hundreds of diverse trap samples on a single flow cell, thereby providing the means to dramatically scale up insect surveillance in terms of both the quantity of traps that can be processed concurrently and number of pest species that can be targeted. In this review of the metabarcoding literature, we explore how DNA metabarcoding could be tailored to the detection of invasive insects in a surveillance context and highlight the unique technical and regulatory challenges that must be considered when implementing high-throughput sequencing technologies into sensitive diagnostic applications.

Indexed as

DNA Barcoding, TaxonomicGenome, InsectHigh-Throughput Nucleotide SequencingAnimalsBiodiversityComputational BiologyDatabases, GeneticGenetic MarkersInsectaGenetic Markersalien speciesbioinformaticsbiosecuritybiosurveillancecontrolsearly detectionnon-destructivequality assurancereference databasevalidation

Identifiers

PMID31363753
PMCPMC6667344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.